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Lexical ambiguity resolution : perspectives from psycholinguistics, neuropsychology, and artificial intelligence /
The most frequently used words in English are highly ambiguous; for example, Webster's Ninth New Collegiate Dictionary lists 94 meanings for the word "run" as a verb alone. Yet people rarely notice this ambiguity. Solving this puzzle has commanded the efforts of cognitive scientists f...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
San Mateo, Calif. :
Morgan Kaufmann Publishers,
�1988.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Cover image; Title page; Table of Contents; Copyright; Foreword; Preface; PART I: COMPUTER MODELS; Chapter 1: Word Expert Parsing Revisited in a Cognitive Science Perspective; Publisher Summary; 1 Introduction; 2 Lexical Ambiguity Resolution; 3 Word Expert Parsing and Psycholinguistics; 4 Conclusions and Further Research; Appendix: An Example Word Expert; Chapter 2: Lexical Ambiguity Resolution in a Deterministic Parser; Publisher Summary; 1 Introduction; 2 Syntactic Context; 3 The Role of Agreement in Handling Ambiguity; 4 Possible Uses for Agreement in English.
- Chapter 3: Resolving Lexical Ambiguity Computationally with Spreading Activation and Polaroid WordsPublisher Summary; 1 Introduction; 2 Marker Passing; 3 Polaroid Words; 4 What Polaroid Words Can't Do; 5 Psychological Reality; 6 Conclusion; Acknowledgments; Chapter 4: Are Vague Words Ambiguous?; Publisher Summary; 1 Introduction; 2 What is a Vague Word?; 3 Frame Selection as Word Disambiguation; 4 Frame Selection as Concept Refinement; 5 Comparison to Other Work; 6 Conclusion; Acknowledgments; Chapter 5: Disambiguation in a Lexically Based Sentence Understanding System; Publisher Summary.
- 1 A Lexically Based Sentence Understanding System2 Some Types of Ambiguity; 3 How to Traverse an Ambiguity Choice Tree; 4 The Syntactic Disambiguation Mechanism; 5 Encyclopedic Disambiguation Mechanism; 6 Solving Additional Deep Understanding Problems; 7 Conclusions; Acknowledgments; Chapter 6: An Account of Coherence, Semantic Relations, Metonymy, and Lexical Ambiguity Resolution; Publisher Summary; 1 Introduction; 2 Coherence, Semantic Relations, and Metonymy; 3 Coherence and Lexical Ambiguity Resolution; 4 Collative Semantics; 5 Example; 6 Summary; Acknowledgments.
- Chapter 7: A Model of Lexical Access of Ambiguous WordsPublisher Summary; 1 Introduction; 2 Lexical Access; 3 The Seidenberg et al. Model of Lexical Access; 4 A Connectionist Model of Lexical Access; 5 An Example Run; 6 Discussion; 7 Conclusion; Acknowledgments; Chapter 8: Distributed Representations of Ambiguous Words and Their Resolution in a Connectionist Network; Publisher Summary; 1 Introduction; 2 The Model; 3 Resolution; 4 Successive Stable States; 5 Conclusion; Acknowledgments; Chapter 9: Process Synchronization, Lexical Ambiguity Resolution, and Aphasia; Publisher Summary.
- 1 Introduction2 HOPE Models Normal Sentence Processing; 3 Viewing Ambiguity in Processing; 4 An Interpretation of Neural Ambiguity-Neural Evidence of Multiple Representation and Multiple Effect; 5 Representation of Ambiguity in HOPE; 6 Aphasic Evidence and HOPE Representations; 7 The HOPE Lexicon-A Distributed Representation of a Word; 8 Linguistic Performance Assumptions Inherent in the HOPE System Design; 9 The Internal Control of Disambiguation in HOPE; 10 Parallelism in HOPE; 11 A Summary of the HOPE Architecture; 12 The Role of Time in HOPE Processing.